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Needed: AI Systems Engineer
LLM Integration, EV Search, Chargers and Mapping
Seeking an experienced AI Systems Engineer to build EVPAL Navigator, one shared AI intelligence layer powering multiple EV-related websites
EVPAL is not a basic chatbot. It must understand user intent, search live electric-vehicle inventory, locate EV chargers, use current or entered location data, display results on a map, and connect visitors with relevant listings, dealers, providers & resources
Required Experience
3–7 years in backend, full-stack, software or ML engineering
Hands-on experience with major LLM APIs
Hey Yves, just left a comment on your post but wanted to reach out directly since I can't send you a DM yet. I'm very interested in the EVPAL Navigator role.
I build agentic AI systems with real tool calling, not chat widgets, and EVPAL's architecture (one core brain, multiple...
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Needed: AI Systems Engineer
LLM Integration, EV Search, Chargers and Mapping
EVDomains is seeking an experienced AI Systems Engineer to build EVPAL Navigator, one shared AI intelligence layer powering multiple EV-related websites
EVPAL is not a basic chatbot. It must understand user intent, search live electric-vehicle inventory, locate EV chargers, use current or entered location data, display results on a map, and connect visitors with relevant listings, dealers, providers & resources
Required Experience
3–7 years in backend, full-stack, software or ML engineering
Hands-on experience with major LLM APIs
Portfolio of agent-based applications, not simple chat widgets
Python/FastAPI or Node.js/TypeScript
LLM tool calling and external API integration
Geolocation, geocoding, radius search and mapping
Production deployment, logging and error handling
Automotive inventory, marketplace, Google Maps, Mapbox, Leaflet or charging-data experience is preferred.
What To Build
One EVPAL Navigator Core Agent
Lightweight backend and unified API
Domain recognition and persona routing
Live EV inventory search through at least one approved source
EV-charger search through at least one approved source
Browser location and manual city, ZIP code or address entry
Search by radius, price, vehicle type, condition, charger speed, connector and available filters
Map markers for EVs, dealers and charging stations
Listing links, directions, contact and lead-capture actions
Session context, basic analytics and logging
Reusable website embed without rebuilding existing sites
Architecture
EVPAL must be built as one brain powering many website surfaces, not as separate chatbots
Phase 1 does not require full enterprise versions of a marketplace, CRM, user-account system, administrative dashboard, payment platform or autonomous multi-agent network.
However, the engineer must provide a limited working foundation that can later support:
Additional EV and charger-data providers
Dealer and private-seller listings
Saved searches, vehicles, chargers and alerts
User accounts and personalization
CRM, partner, payment and scheduling integrations
Additional EV domains
Specialized agents and future EVPAL CORE expansion
The system must be modular, documented & expandable--not a disposable prototype
Deliverables
Working EVPAL Navigator
Five persona configurations
EV inventory, charger, location and mapping integrations
Unified backend and website embed
Lead-capture and routing workflow
Source code, deployment files and documentation
Deployment under EVPAL-controlled accounts
Engagement
Remote contract
Delivery target: 60hrs/45 calendar days
Milestone-based NDA
Full source-code and IP transfer required
Applicants must show a system they personally built that converts natural-language requests into structured API searches and actionable results.
Begin your application with:
“One Brain, Many Surfaces”
What features are most important to you in an AI Resume Builder?
Label: AI Resume Builder
Description: I'm designing an AI-powered Resume Builder that helps job seekers create professional CVs in minutes. Users can enter their information, choose a template, and generate a polished resume with AI assistance.
Upload Media:
Resume Builder UI screenshot
Figma design screenshot
CV template preview
6 votes
Ends in 6h
Excited to submit my project, LinguaBridge AI, for the #ConfigMakeathon
Millions of immigrants, international students, and foreign workers face language barriers when applying for jobs, visiting doctors, using public transportation, or accessing essential services. Language learning apps often focus on grammar, but real life requires practical communication skills.
LinguaBridge AI is an AI-powered platform designed to help newcomers learn a language through real-world scenarios, including:
• Job interview practice
• Doctor appointments
• Banking and public services
• Daily conversations
• AI-powered speaking and grammar feedback
• Personalized learning progress tracking
Built using Figma's AI-powered tools, this project explores how design and AI can work together to make language learning more practical, accessible, and impactful.
This experience challenged me to think beyond interfaces and focus on solving a meaningful problem that affects communities worldwide.
Thank you to @figma for organizing the #ConfigMakeathon and creating opportunities for builders and designers to turn ideas into reality.
This is great! Don't forget to share it to Instagram, X, or LinkedIn with #ConfigMakeathon and @figma, and check the guidelines to make sure your submission is complete before the deadline!
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